Imagen de Portada

Which Coauthor Should I Nominate in My 99 ICLR Submissions? A Mathematical Analysis of the ICLR 2026 Reciprocal Reviewer Nomination Policy

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Song, Zhao, Yue, Song, Zhang, Jiahao
Formato:	Preprint
Publicado:	2025
Materias:	Computer Science and Game Theory Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Computing Equilibrium Nominations in Presidential Elections
por: Faliszewski, Piotr, et al.
Publicado: (2025)

A Computational Analysis of Strategic Nominations: Modeling Equilibrium and Complexity in Organizational Elections
por: Lin, Chuang-Chieh, et al.
Publicado: (2023)

AI Testing Should Account for Sophisticated Strategic Behaviour
por: Kovarik, Vojtech, et al.
Publicado: (2025)

Policy-Conditioned Policies for Multi-Agent Task Solving
por: Lin, Yue, et al.
Publicado: (2025)

When Should a Leader Act Suboptimally? The Role of Inferability in Repeated Stackelberg Games
por: Karabag, Mustafa O., et al.
Publicado: (2023)

A Task-Driven Multi-UAV Coalition Formation Mechanism
por: Lu, Xinpeng, et al.
Publicado: (2024)

Eliciting Honest Information From Authors Using Sequential Review
por: Zhang, Yichi, et al.
Publicado: (2023)

ICLR: In-Context Learning of Representations
por: Park, Core Francisco, et al.
Publicado: (2024)

Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO
por: Konicki, Christine, et al.
Publicado: (2025)

If It's Nice, Do It Twice: We Should Try Iterative Corpus Curation
por: Young, Robin
Publicado: (2025)

Insights from the ICLR Peer Review and Rebuttal Process
por: Kargaran, Amir Hossein, et al.
Publicado: (2025)

Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms
por: Khosravi, Khashayar, et al.
Publicado: (2023)

Average-Case Analysis of Iterative Voting
por: Kavner, Joshua, et al.
Publicado: (2024)

Fairness Analysis with Shapley-Owen Effects
por: Ruess, Harald
Publicado: (2024)

Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
por: Shaheen, Abdelrhman, et al.
Publicado: (2025)

Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks
por: Wei, Yuxiang, et al.
Publicado: (2025)

Policy Aggregation
por: Alamdari, Parand A., et al.
Publicado: (2024)

Information Bargaining: Bilateral Commitment in Bayesian Persuasion
por: Lin, Yue, et al.
Publicado: (2025)

What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting
por: Caiata, Joshua, et al.
Publicado: (2025)

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising
por: Gong, Zhen, et al.
Publicado: (2024)

LLM-Auction: Generative Auction towards LLM-Native Advertising
por: Zhao, Chujie, et al.
Publicado: (2025)

How Far Can LLMs Emulate Human Behavior?: A Strategic Analysis via the Buy-and-Sell Negotiation Game
por: Jeon, Mingyu, et al.
Publicado: (2025)

Not in My Backyard! Temporal Voting Over Public Chores
por: Elkind, Edith, et al.
Publicado: (2025)

Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach
por: Kang, Jiawen, et al.
Publicado: (2024)

Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
por: Zhang, Yuheng, et al.
Publicado: (2024)

Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectors
por: Sun, Johnathan, et al.
Publicado: (2026)

General search techniques without common knowledge for imperfect-information games, and application to superhuman Fog of War chess
por: Zhang, Brian Hu, et al.
Publicado: (2025)

Algorithmic Decision-Making under Agents with Persistent Improvement
por: Xie, Tian, et al.
Publicado: (2024)

Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games
por: Liu, Naming, et al.
Publicado: (2024)

TERMS-Bench: Diagnosing LLM Negotiation Agents Beyond Deal Rate
por: Zhang, Erica, et al.
Publicado: (2026)

Bi-Level Policy Optimization with Nyström Hypergradients
por: Prakash, Arjun, et al.
Publicado: (2025)

Policy Space Response Oracles: A Survey
por: Bighashdel, Ariyan, et al.
Publicado: (2024)

Reliable and Private Utility Signaling for Data Markets
por: Peng, Li, et al.
Publicado: (2025)

Stochastically Dominant Peer Prediction
por: Zhang, Yichi, et al.
Publicado: (2025)

Can Media Act as a Soft Regulator of Safe AI Development? A Game Theoretical Analysis
por: da Fonseca, Henrique Correia, et al.
Publicado: (2025)

Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives
por: Shao, Jiaqi, et al.
Publicado: (2024)

MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces
por: Zheng, Tianyu, et al.
Publicado: (2024)

Solving Urban Network Security Games: Learning Platform, Benchmark, and Challenge for AI Research
por: Zhuang, Shuxin, et al.
Publicado: (2025)

Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding
por: S., Nishanth Venkatesh, et al.
Publicado: (2025)

In-Context Exploiter for Extensive-Form Games
por: Li, Shuxin, et al.
Publicado: (2024)